Full Stack AI Training Developer
The work You will build and maintain web applications while helping prepare and evaluate data used to train AI models. The work covers user interfaces, back-end services, relational databases, coding tasks, benchmarks, and reinforcement learning workflows. You will use modern AI coding tools to work efficiently while keeping code and datasets clean, reliable, and well structured.
- Build responsive, accessible front ends with React, HTML, CSS, and JavaScript.
- Develop Node.js back-end services and connect them to SQLite and PostgreSQL databases.
- Create high-quality AI training tasks and assess their quality against benchmarks.
- Prepare data and support reinforcement learning and other AI model training workflows.
- Use AI coding tools such as Codex, Cursor, or Claude while reviewing the quality of the results.
- Turn requirements into working features, training tasks, and structured datasets.
What it pays and takes This is an intermediate-level contractor role with part-time status. The listing does not specify a pay rate. You should be able to work independently, write clean and maintainable code, create reliable datasets, and use strong prompting skills with AI coding tools.
- Pay: Not specified in the listing.
- Time: 20 or more hours per week.
- Work arrangement: Part-time contract work.
- Location: Worldwide.
- Language: English.
- Required: Strong React, HTML, CSS, and JavaScript experience.
- Required: Back-end development experience with Node.js.
- Required: Hands-on experience with SQLite and PostgreSQL.
- Required: Experience with reinforcement learning or AI model training workflows, task creation, and benchmark-based evaluation.
- Helpful: Python, common machine learning libraries, model evaluation, benchmarking pipelines, testing, CI/CD, and Git.
How it works Apply on OpenTrain with your resume and then complete the application on the hiring site. About AI training work AI training work is the human side of building artificial intelligence. People create, review, and evaluate examples so AI systems can produce more useful and reliable results, and experienced developers are needed for specialized coding and model evaluation tasks.